BL4DSM - Building-based load forecasting for demand side management

Project leader overall project: Wolfgang Kastner (TU Vienna)

Project manager University of Innsbruck: Rainer Pfluger

Project staff: Gabriel Rojas

Project partners:

  • TU Vienna - Institute for Computer Aided Automation - AB Automation Systems
  • AIT Austrian Institute of Technology GmbH - Energy Department
  • Danish Technical University (DTU) -Dep. of Applied Mathematics and Computer Science - Dynamical Systems / Statistics
  • KU Leuven - Dep. of Civil Engineering - Building Physics Section

Funding body: FFG: Energy research programme - 1st call for proposals

Duration: 01.04.2015 - 30.06.2016

Summary of the project

For improved decisions in the demand side management of smart grids, it is to be worked out whether and which monitoring parameters from buildings should be made available. The aim of this exploratory study is to clarify whether a grid-friendly building that voluntarily provides information about its thermal properties to demand side management during the construction phase or after an energy renovation represents an advantage for the flexibility operator. On the building side, it becomes clear which configurations are already available in building automation systems.
The University of Innsbruck provides the "synthetic measured values" for the identification of greybox models, which describe the dynamic load behaviour of buildings/residential districts with simple yet accurate models for use in demand side management. For this purpose, many residential buildings in a wide variety of designs were simulated with stochastically generated input data (user behaviour).

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